The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 26, 2022

Filed:

Aug. 14, 2017
Applicant:

General Electric Company, Schenectady, NY (US);

Inventors:

Anurag Agarwal, Bangalore, IN;

Rajesh Alla, Bangalore, IN;

Frank Gruber, Springboro, OH (US);

Lorenzo Escriche, Hamilton, OH (US);

Assignee:

GENERAL ELECTRIC COMPANY, Schenectady, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
F01D 21/00 (2006.01); G06N 20/00 (2019.01); G06F 16/28 (2019.01); G06F 16/2457 (2019.01); F01D 17/02 (2006.01);
U.S. Cl.
CPC ...
F01D 21/003 (2013.01); F01D 17/02 (2013.01); G06F 16/24578 (2019.01); G06F 16/285 (2019.01); G06N 20/00 (2019.01); F05D 2260/81 (2013.01);
Abstract

A turbine diagnostic machine learning system builds one or more turbine engine performance models using one or more parameter or parameter characteristics. A model of turbine engine performance includes ranked parameters or parameter characteristics, the ranking of which is calculated by a model builder based upon a function of AIC, AUC and p-value, resulting in a corresponding importance rank. These raw parameters and raw parameter characteristics are then sorted according to their importance rank, and selected by a selection component to form one or more completed models. The one or more models are operatively coupled to one or more other models to facilitate further machine learning capabilities by the system.


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